Navigating the Future of AI and Autonomous Agents

This chapter examines the transformative role of large language models (LLMs) in agentic AI, highlighting the balance between autonomy and control in AI systems. It discusses the challenges of reliability, trust, and the need for explainability in AI decision-making, along with the importance of effective risk management. Furthermore, the chapter explores advancements in network troubleshooting using multi-agent frameworks, showcasing how AI can enhance problem-solving capabilities in complex scenarios.